Digital Transformation For Competitivenesshttps://software-development.blog
Digital Strategy | Technologies | Innovation | Team EmpowermentWed, 13 Dec 2017 04:02:36 +0000enhourly1http://wordpress.com/https://s2.wp.com/i/buttonw-com.pngDigital Transformation For Competitivenesshttps://software-development.blog
How GAFA use AI to best each other?https://software-development.blog/2017/12/12/how-gafa-use-ai-to-best-each-other/
https://software-development.blog/2017/12/12/how-gafa-use-ai-to-best-each-other/#respondTue, 12 Dec 2017 11:33:42 +0000http://software-development.blog/?p=701]]>Think about the hottest, most competitive sectors that the big tech companies are all chasing in some fashion: Home automation. Autonomous driving. Augmented reality. The thread that runs through each of these business opportunities?

Tagged: AI, Artificial Intelligence, GAFA]]>https://software-development.blog/2017/12/12/how-gafa-use-ai-to-best-each-other/feed/0jchucblogAI GAFAArtificial Intelligence and Human Resources – paradox or reality?https://software-development.blog/2017/12/07/artificial-intelligence-ai-and-human-resources/
https://software-development.blog/2017/12/07/artificial-intelligence-ai-and-human-resources/#commentsThu, 07 Dec 2017 08:45:52 +0000http://software-development.blog/?p=695More Artificial Intelligence and Human Resources – paradox or reality?]]>Artificial Intelligence and Human Resources are as opposite as the north pole is from the south pole, as different as matter is to antimatter, right? Artificial Intelligence (AI) is all about impersonal, robotic, computerized number crunching and is, quite frankly… not human. Human Resources (HR) on the other hand… is. So, how can the two be used in one sentence?

That’s a good question, and one that is garnering a lot more talk by humans these days. Many people fear AI, not just because they’ve watched too many movies where robots are able to outsmart humans and take over the world, but because they really fear for their jobs. A case in point that has been going on for longer than many people realize is computer automation replacing humans on assembly lines. AI operated kiosks are now being rolled out in the “fast food” industry, even as I write this.

The reality is, more and more jobs that were once done by humans are now being done by machines that are able to do them more accurately, faster, and without any need to stop production for things like breaks and sleep. But while organized labor and their friends have been warning us for more than fifty years about how jobs are going to be lost to machines, the unemployment rate in developed, industrialized countries is actually very low. In fact, over the last 50 years, the rate has stayed virtually level, even though the population has grown considerably.

How can this be?

The Economy has Changed

The fact is, the economy of the developed industrialized world has changed. There are fewer people doing repetitive manual labor than there were 50 years ago. In fact, there are a lot fewer people doing those jobs. However, it’s really hard to justify having a human spend 8 or more hours per day doing a completely mindless and repetitive job that could eventually drive him to alcohol, drugs or outright psychosis, when a machine can do it.

The development of machines to do highly repetitive or dangerous jobs instead of humans has not created the nightmare of high unemployment that was predicted. Instead, humans today are living longer, healthier lives than ever before, while continuing to enjoy employment levels that haven’t been significantly effected negatively or positively by automation.

What has happened has been a shift. Humans who once worked doing tasks that are now done by machines have moved on to do other tasks that machines have not yet been designed to do. More people than ever before are not only finishing high school, but they are going on to trade schools or universities, and from there to productive work, perhaps not even imagined in their parents’ day.

In a nutshell, the creation of better, faster and yes, smarter machines has not created unemployment. It has opened up whole new industries and development as people – human resources – have been freed up by very capable machines to use our minds and motor skills to do bigger and better things.

AI isn’t going to cause massive unemployment, any more than modern machinery and automation have. In fact, AI is already being used in HR departments to help place people in jobs, rather than making them redundant.

When AI is added into the HR department, rather than making jobs disappear, it can actually add positions previously not thought of while finding people to fill those positions. The advantage are twofold. Employees whose present jobs may no longer be economically viable are quickly moved into new positions where their skills are most valuable. The company becomes more profitable and productive than before.

Does AI really benefit HR?

The short answer is a resounding YES!

In the past, a small employer would post a job, then look through all the resumes that came in to make a decision on who should be interviewed.

Obviously, somewhat larger companies needed to post more jobs, meaning they would have needed to wade through more resumes and also conduct more interviews. This manes they would need to have more HR staff to handle the larger load.

For a large company, this became a major operation. Large companies continually post so many openings and receive so many resumes to sort through that HR staffing, alone, accounts for a major expense. Not only must the HR team be much larger, but the overall office space and equipment for HR must be larger. Obviously, it was a major expense that potentially could have been better invested, if it was possible to reduce it at that point in the chain.

Modern applicant tracking software (ATS) makes it less necessary for a talent acquisition specialist to go through every resume. An ATS system now allows a single HR specialist to search through literally vast numbers of resumes by keyword, education, location, experience level, etc.

Notice that I wrote “less necessary.” ATS software isn’t perfect and may not return the best and most relevant search results.

This is where AI shines. Artificial intelligence available, today, can sift through quite literally thousands of applications quickly, very efficiently, and at a fraction of the cost of human staffing. Because AI works by using machine learning technology, employers can enter pertinent system teaching sets and information such as who the best current employees are for a position when it opens up, as well as resumes of the best present industry performers along with their history and career paths.

When AI is used to search through all the resumes, it is now possible to provide the recruiter with candidates that mean predetermined criteria, such as their location and previous experience. Furthermore, they can be ranked for the recruiter based on other important characteristics or backgrounds matching the highest performers among existing employees.

This process doesn’t eliminate a meeting between a real human being and a candidate for an interview, but it greatly enhances the potential outcome for the recruiting of better candidates in less time at a lowered cost.

Some companies are also using AI chatbots to “chat” with potential candidates, before they even send in their resume. They are able to answer questions about such thing as privacy concerns, social media profiles, flexible hours, and many of the other questions that would not be part of the job description in an employment posting. This solves a problem that can be epidemic for some companies, where they experience a continuous need to replace employees who discover shortly after they start work that they really don’t like the constraints of the new job.

With intelligent chatbots, job seekers and companies are often able to discover ahead of time if a potential applicant is suited for the job in a more pleasant, relaxed and less stressful manner, and without hiring more HR staff. Furthermore, if a position is already filled, a chatbot can politely and pleasantly let applicants know, rather than the applicant receiving no response, as has often been the custom in the past. This helps provide a good experience, even to someone who does not get hired, leaving the door open for a skilled candidate and potential valuable employee to apply for another posting in the future.

Eliminate Discriminatory Hiring

AI can go a long way in eliminating discriminatory hiring. While it would be wrong to suggest that most humans involved in talent acquisition consciously practice discrimination based on certain stereotypes, every human being has prejudices built in that they probably don’t even realize they have. It is human nature. It is only necessary to read what success coaches such as Jack Nasher write to know that things like physical appearance matter to human recruiters!

AI, being unemotional machine intelligence, can help to eliminate this unconscious discrimination. Instead, AI uses objective information to rank candidates based in the needs of the employer and the candidate’s potential to fill those needs.

When AI is combined with video during the interview process, the candidate’s body language, which includes posture, eye movement, facial expression and potential more that AI will eventually pick up, certain things about the candidate can be quickly analyzed. It can quickly be determined whether the candidate is being honest, how comfortable he/she is with the process and even how detailed and accurate the answers are. Such technology has the potential, not necessarily to eliminate the need for real human interviews of qualified candidates, but almost certainly to greatly streamline the process of narrowing the field.

Free Up Talent

As mentioned above, there is still a certain amount of fear about the machine replacing the human. People do worry about how AI might negatively effect their job.

However, there is an upside that people employed in firms using AI should really be thinking about. After all, doing the same thing day in and day out, no matter how interesting it may have been in the beginning, is, quite frankly… boring.

AI provides real potential to change that. Once you get past the understandable discomfort of realizing you’re being watched continuously by a machine, there is a real upside to this. First of all, that machine is impersonal, so the fact that it’s “watching” you shouldn’t bother you nearly as much as those dreaded meetings with the manager for a yearly performance appraisal. In fact, those could be virtually eliminated.

The big upside is that AI can potentially free up talent that is being underused by over-qualified personnel. Everyone who has any talent, after doing a certain job for any length of time, learns a surprising amount of new skills that could be better and more profitably used elsewhere in the company.

Such talents are often easily overlooked in a traditional setting. As long as everything is going along smoothly and the job is being done, nobody notices or says anything. In fact, in a traditional workplace, it is very often that the only time someone is noticed is when something goes wrong!

When AI is integrated with HR and the system as a whole, including all departments, customer service and acquisition, sales departments, etc., it is a continuing possibility that new areas of business will be found to be developed, requiring human resources that may already exist in the company, being underused or even wasted on positions that are either redundant or that could be effectively filled by junior staff at a lower cost.

Furthermore, by moving existing talent to areas that are more stimulating, their loyalty and productivity will likely increase, making their contribution even more valuable.

Summation of Benefits of AI to HR

Leave the boring, talent-killing busy work to AI. A bot never complains (so far!). One of the best ways to destroy promising new recruits is to bore them to death with repetitive tasks that software can do better, faster, and… endlessly.

Streamlining of the screening process is easier, faster and probably much more accurate with AI. A company naturally wants to hire the best talent it can, but that usually requires posting to large job boards where there can often be thousands of applicants. AI can wade through them at the speed of light and without getting bored or careless.

Human bias in recruiting is obviously reduced, at least throughout much of the screening process. (It is noteworthy that a LinkedIn study reported in July, 2017, shows that 56% of candidates still prefer to hear from a real human hiring manager.)

AI can really help in onboarding and training. Learning modules for new and continuing training are now not only a good idea, but they exist and are effective. Employees can now learn at their own level and timetable with efficient tracking of their progress. Indeed, AI can also answer many of the common questions asked by employees, greatly reducing the amount of time spent on such mundane communication by the HR department, while freeing up managers to deal with more complex issues in an unhurried manner, thus increasing the overall quality of coaching in a given firm.

In any discussion of training and expected outcomes, the dreaded topic of performance analysis arises. AI is now making it possible for this to be an ongoing process. Rather than having semi-annual or yearly performance assessments, it is now possible for defined objectives to be set in place broken down into easily tracked increments. This helps improve productivity and also detects negative performance indicators before they become a bigger issue.

Big data and metrics is no longer something to be feared. AI makes it easier and faster to crunch the numbers and analyze the data. In turn, this helps manager match the right opportunities to existing and new employees. Furthermore, problems may be identified earlier, making it easier to recommend possible solutions, including further learning opportunities, thereby reducing turnover and likely having a happier, healthier workforce.

Tagged: AI, Artificial Intelligence, human resources, intelligence artificielle, ressources humaines]]>https://software-development.blog/2017/12/07/artificial-intelligence-ai-and-human-resources/feed/2jchucblogAI HRIoT – the Internet of Things – yes, you are connectedhttps://software-development.blog/2017/12/04/iot-the-internet-of-things-yes-you-are-connected/
https://software-development.blog/2017/12/04/iot-the-internet-of-things-yes-you-are-connected/#commentsMon, 04 Dec 2017 10:49:44 +0000http://software-development.blog/?p=690More IoT – the Internet of Things – yes, you are connected]]>IoT or the Internet of Things is a massive field that connects literally everybody, everywhere. Well… almost. If you’re living deep in the Amazon rainforest, beneath the canopy that literally blocks out the sun from ever hitting the forest floor, wear almost nothing and carry nothing that hasn’t been made on site, you’re probably part of the IoT. Indeed, just by reading this article on this screen makes you part of it.

The IoT has lots of definitions in print around the web. In fact, if you simply type IoT into Google, it brings more than 34 million results, as of December, 2017. Cisco says it’s “connecting everything that drives positive business results.” In fact, it’s one heck of a lot more than that.

Perhaps a fairly standard definition of the IoT is that it is a network of physical devices, which included vehicles, home appliances such as stoves, fridges and TVs, as well as an ever widening range of things that are embedded with sensors, software, electronics, actuators all able to network and connect to exchange data. Everything has its own unique identity because of its own embedded computing system, but at the same time is able to interact and operate with other parts of the infrastructure it is connected to.

This means that the things that are part of the IoT are able to be sensed and controlled remotely across the already existing Internet, making it possible for these items to be integrated directly into computer-based systems already in place. The expected result is an increase in efficiency, accuracy and economic benefits. A desired benefit is decreased human intervention, but there are many questions about how successful the latter has been, due to the increase, real or perceived, in potential targets for hackers.

Jacob Morgan, a Forbes contributor said in defining the Internet of Things, “… this is the concept of basically connecting any device with an on and off switch to the Internet (and/or to each other). This includes … cellphones, coffee makers, washing machines, headphones, lamps, wearable devices and almost anything else you can think of. This also applies to components of machines, for example a jet engine of an airplane or the drill of an oil rig… if it has an on and off switch then chances are it can be a part of the IoT.”

In other words, if it runs on electricity, no matter where it is, it can now be manufactured with the ability to connect to the internet. This has already raised some serious questions about privacy. Just recently, a company that makes wi-fi connected adult toys designed to be controlled via a smartphone over a home network were in the hot seat for collecting data on how their devices were being used!

I quite like The way Margaret Rouse concisely defines Internet of Things in her article on the subject: “The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. “

She goes on to explain that a thing can be anything from your pet with an implanted biochip transponder to a person with an implanted heart monitor (those are amazing), a van like mine with sensors that warn me about low pressure in one of my tires, or just about anything else, whether natural (like you or you pet) or man-made (like my van or your smart TV) that can be assigned an IP address and somehow connected to a network with the ability to transfer data.

Why the IoT?

The driving force behind all this, of course, is the need for data. The more data that can be gathered and accurately catalogued and analyzed, the better we are able to make decisions. The better we are able to make decisions, the better off (in theory) we all are.

The challenge is the way we have traditionally created and handled information. It has almost exclusively depended on human input. Everything for most of the history of the Internet has been collected, typed in, saved, scanned or photographed by humans.

The issue with this is that it’s relatively slow – humans tend to get tired, lack time and make mistakes, which means the information we humans capture isn’t the best it can be. The beauty of the IoT is that it lets machines, with no emotions, illnesses, short attention spans or other distractions collect and count all the data about everyTHING without any input or interference from us. We can then know exactly when something needed to be replace, repaired or recalled. We could even track consumables like our bread and eggs to determine their freshness without ever having to check a package, ourselves.

Here’s an example from my own office about just one of the benefits of the IoT. I used to have to remember to keep track of how much ink or toner the printer was using, in order to make sure I had some on hand for when I suddenly ran out. Today, my printer not only tells me long before I run out, but it will actually order it for me and it will be delivered to my door, automatically, in plenty of time. I don’t need to worry about remembering to check it, any more, which is a good thing, because with all the other things I must remember, it’s easy to forget.

But this is just a tiny fraction of the possibilities opened up in the evolution of the IoT. Now your house can learn your habits on a daily, monthly, weekly and even yearly level, controlling everything from your morning cup of coffee being waiting for you, the level of your lights, your heat and your security system. Your car can start and warm itself up for you on cold winter mornings, list your itinerary for you as you drive to work and even help you choose a gift for that special someone it just reminded you has a birthday coming up.

The Internet of Things and the Cloud

To further describe the IoT, perhaps in the most basic way possible, it is a system of sensors and machines connected to one another via cloud-based applications. Therein lies the key to making it all work – cloud-based computing. We will talk about that in greater detail in a moment.

But there’s more. There’s a race going on that everyone is benefiting from. Have you noticed how the cost of using your smartphone has not increased in step with inflation, yet you are able to do more and more, call more areas and use more data, without big increases in cost? It really is amazing, if you think about it, and that’s only one of the benefits of what is going on.

While IoT can connect and monitor almost anything in your home, there is a much broader picture. The IoT can also be applied to such things as transportation networks, including smart cities, helping to reduce spending and other waste and improve efficiency for everything from energy to water use.

A beautiful little loop and infographic has been created on ceros.com with the message, “The thing is not really the thing. To reveal the real value of the Internet of Things, go beyond connected devices.”

Examples today of IoT use in industry include manufacturing, energy, transportation, water, smart cities, government, education, retail, healthcare, information and financial services. Companies like Cisco, Microsoft, Yahoo, Facebook, Google and many, many more are “in.” But also communications companies like Bell, AT&T and Rogers, the traditional communications giants are “in the game.”

With the advent of cloud-based computing, we now have the opportunity to have applications that we can access to, interpret and transmit the data from all these sensors and communicate and analyze that same data for us, no matter where on the planet we are. Simply put, the cloud makes it possible for any app to go to work for us, anytime and anywhere.

Implications

What do you think the implications are from this for the communications industry? In a word: Massive.

Perhaps you’ve heard of them. If not, you will. NB-IoT (NarrowBand-Internet of Things), LoRa, Sigfox and 5G wireless technologies. With a growing demand that is already in the tens of billions for connections as more and more smart devices come online in addition to those already on, the demand for wireless connections is simply staggering. Let’s quickly look at these.

NB-IoT

NB-IoT is the 3GGP (the global mobile broadband standard) answer for connecting low data rate devices to mobile networks. According to a news release by 3GGP on September 15, 2017, “A major milestone was achieved this week in RAN (Plenary meeting #69) with the decision to standardize NB-IOT, a new narrowband radio technology to address the requirements of the Internet of Things (IoT). “ In other words, work still needs to be done…

One of the goals of this technology is to provide a viable replacement for GSM channels. The good news is, that work is being done.

LoRa

LoRa is a trademarked modulation format developed by Semtech. It is described as an “FM chirp,” which is very useful for communication across a wide area. Also called LoRaWAN (and also trademarked by Semtech, itself a trademarked name, is an ultra long-range, low-power wireless networking technology, and a major player in the evolution of the IoT.

LoRa uses the unlicensed spectrum. That equates to a 1% duty cycle in Europe, which puts limits on the volume and the frequency of traffic. In addition, it limits the ability of the base station to control the network and send traffic down.

As already mentioned, LoRa is Semtech’s proprietary modulation system. So far, they are the only LoRa chipset manufacturer or license holder.

Non-mobile operator customers can use LoRan to implement solutions. However, LoRa networks tend to interfere when more than one is operated in a single area.

LoRa is suitable for a range of 2 to 5km in an urban area, and up to 15km in a suburban area.

Sigfox

Sigfox is a French wireless network company, founded in 2009. They build wireless networks for connection so such low-energy things as water meters, smart watches and refrigerators, which need to be on all the time while sending small amounts of data. They currently have networks running in 19 countries representing an area of more than 1.2 million square kilometers, including San Francisco, which puts it as the leader in its niche. They are planning to expand their US coverage to 100 cities.

Their proprietary technology used the ISM (Industrial, Scientific and Medical) band (868MHz in Europe and 902MHz in the US). Theirs is a wide-ranging signal that is able to pass freely through solid objects. it is called an ultra-narrow band and has very low energy requirements. Rather than LoRaWAN, this one is termed “LPWAN (Low-Power Wide-Area Network)” or simply “LPWA.”

Sigfox requires a mobile operator to carry the traffic it generates. The signal can easily cover a very wide area and is suitable for reaching underground objects (such as water meters).

The payload is very low – up to 140 uplink messages per day, of no more than 12 bytes each (not including the header and transmission information), plus up to 4 downlink messages per day, with a maximum payload of 8 Bytes.

Sigfox is suitable for 3 to 10km in an urban area, and 30 to 50km in a rural area. In fact, they can send messages up to 1000km with a single base station. Each base station has the capacity to handle up to 1 million IoT devices.

A huge advantage of Sigfox is cost. It greatly reduces the cost and energy consumption necessary for securely connecting such physical things as mentioned to the Cloud. It is compatible with Bluetooth, GPS, 2G, 3G, 4G and Wi-fi. That brings us to the next one:

5G

Coming soon to the world all around you is 5G. 3GPP planned to focus the the second half of 2017 on their work toward Release 15, to deliver the first set of 5G standards. We are now in December of 2017 and waiting for their next update on the subject. They do have a nice infographic showing their timeline for Release 15.

5G is the next on the list as a connectivity option. You might well ask why any IoT device would need the 10GBps bandwidth, and the answer, of course, it that they wouldn’t. What they will need is somewhere to connect. The grown that has been predicted, probably conservatively, is somewhere around 50 billion devices, sensors and actuators by 2020. 5G is key to providing the necessary quantity of connectivity in the exploding IoT.

Conclusion

The IoT continues to experience explosive growth, showing no signs of slowing down or even of levelling out. As new appliances, gadgets, equipment, things enter the system, there will be an ever-increasing need for connectivity. New IoT companies are coming online as new discoveries and technologies appear.

It is unlikely, at least in the visible future, that any of the existing technology, such as NB-IoT, Sigfox and LoRA will fade away, even with the addition of 5G. They will likely coexist for a long time, at least until there is enough new technology to keep up with the growing demand.

The bottom line is, love it or hate it (or fear it), the IoT is here to stay, and its future looks very bright.

Jean-Christophe Huc (Jay C)

Tagged: internet of things, IoT]]>https://software-development.blog/2017/12/04/iot-the-internet-of-things-yes-you-are-connected/feed/2jchucblogIoTWhat is Blockchain… And Why Should I Care?https://software-development.blog/2017/11/28/what-is-blockchain-and-why-should-i-care/
https://software-development.blog/2017/11/28/what-is-blockchain-and-why-should-i-care/#respondTue, 28 Nov 2017 07:56:18 +0000http://software-development.blog/?p=685]]>By the mid-2020s, PwC expects blockchain-based systems will be leveraged by leading enterprises with the aim of reducing or eliminating categories of validations and verification friction to streamline all kinds of transactions.

Musk, an outspoken advocate for regulation on robotics and artificial intelligence development, said the impressive moves the robot performs in the video are “nothing.” He retweeted the video and said, “This is nothing. In a few years, that bot will move so fast you’ll need a strobe light to see it. Sweet dreams…”

Tagged: AI, inte]]>https://software-development.blog/2017/11/28/elon-musk-warns-dangers-of-backflipping-boston-dynamics-robot/feed/0jchucblogelon-muskToyota has just announced its own humanoid robot, the T-HR3https://software-development.blog/2017/11/22/toyota-t-hr3/
https://software-development.blog/2017/11/22/toyota-t-hr3/#respondWed, 22 Nov 2017 08:24:24 +0000http://software-development.blog/?p=675More Toyota has just announced its own humanoid robot, the T-HR3]]>

Toyota has just announced its own humanoid robot, the T-HR3.

It boasts of some smooth and precise movements. In contrast to Atlas, however, it is also designed to attract humans and not scare them off. The main focus of the T-HR3 is actually what Toyota dubs as the Master Maneuvering System. In a nutshell, it lets an operator control the robot remotely by sitting on a platform, donning half an exoskeleton, and a headset. This allows the human operator control of nearly every robot limb while seeing what the T-HR3 sees through the headset. Many of Toyota’s technologies, like the Torque Servo Module, Flexible Joint Control, and Self-interference Prevention, all work in harmony to make the robot move more naturally, precisely, and gracefully.

Sophia’s lifelike skin is made from patented silicon and she can emulate more than 62 facial expressions. Cameras inside her “eyes,” combined with computer algorithms, enable her to “see,” follow faces and appear to make eye contact and recognize individuals. A combination of Alphabet‘s Google Chrome voice recognition technology and other tools enable Sophia to process speech, chat and get smarter over time. Hanson is working with IBM and Intel to explore integrating some of their technologies.

]]>https://software-development.blog/2017/11/21/gartner-top-strategic-predictions-for-2018-and-beyond/feed/0jchucbloggartner-2018-technologies-trends-650x300tendances-technologiques-gartner-2018-innovationTesla released its new Semi truckhttps://software-development.blog/2017/11/21/tesla-released-its-new-semi-truck/
https://software-development.blog/2017/11/21/tesla-released-its-new-semi-truck/#respondTue, 21 Nov 2017 09:20:19 +0000http://software-development.blog/?p=659More Tesla released its new Semi truck]]>

Tesla released its new Semi truck at a launch event in Hawthorne, California, on Nov. 16.

Tesla CEO Elon Musk orchestrated all the pizazz and performance of a typical Tesla launch, and touted how the Semi can accelerate from zero to sixty in just five seconds, and haul 80,000 pounds. Unlike other trucks, the Tesla Semi places the driver in the center of the front vehicle. Instead of the usual levers, two touchscreens are placed beside the steering wheel. It will also be semi-autonomous, capable of keeping lane and braking on its own. The truck will have a range of 500 miles when fully charged. Plugging into one of Tesla’s fast-chargers for 30 minutes will give the Semi a 400-mile range. The Semi will be built on a truck chassis with components from Tesla’s Model 3 line, the mass-market vehicle the company plans to make in huge volumes (about 500,000 per year after 2018).

Tagged: AI, Artificial Intelligence, robots]]>https://software-development.blog/2017/11/21/tesla-released-its-new-semi-truck/feed/0jchucblogt3-980x620Humanoid robot is now able to do backflipshttps://software-development.blog/2017/11/21/humanoid-robot-is-now-able-to-do-backflips/
https://software-development.blog/2017/11/21/humanoid-robot-is-now-able-to-do-backflips/#respondTue, 21 Nov 2017 09:11:39 +0000http://software-development.blog/?p=653More Humanoid robot is now able to do backflips]]>Boston Dynamics’ Atlas robot is now capable of performing gymnastics.

After unveiling a teaser of its SpotMini robot just a few days ago, the company is now back with a new video of Atlas just casually performing gymnastics moves like it’s Tokyo 2020. Most of the video highlights the Atlas’ ability to hop up straight and stabilize itself on a platform, and jump while turning 180 degrees. Its movements are more fluid than ever, and Atlas appears to maintain great form.